code: def set_rand_params(self, params):
      params_dict = {}
      for param, values in params.items():
          if param == "columns" and values == ALL_POSSIBLE_VALUES:
              col_size = self._rand(len(self._df.columns))
              params_dict[param] = list(
                  np.unique(
                      np.random.choice(self._df.columns, col_size)
                  )
              )
          else:
              params_dict[param] = np.random.choice(values)
      self._current_params["test_kwargs"] = self.process_kwargs(
          params_dict
      )
  
file_path: cudf/python/cudf/cudf/_fuzz_testing/parquet.py
imports: import logging
  import random
  import numpy
  import cudf
  from cudf._fuzz_testing.io import IOFuzz
  from cudf._fuzz_testing.utils import ALL_POSSIBLE_VALUES, _generate_rand_meta, pyarrow_to_pandas
  from cudf.testing import dataset_generator
label_desc: Use image node_id 4 for calling the ParquetReader obj's underlying member method code with example usage: obj.set_rand_params(params) without return types